AlphaStocks

BA vs MOG-A

As of Sep 20, 2026, Boeing (BA) scores 4.4/10 and Moog Inc. (MOG-A) 5.8/10 on AlphaStocks' five-model composite, so MOG-A scores higher. BA trades 64% above its model fair value; MOG-A trades 81% above its model fair value.

BA

BOEING CO

4.4

Weak

$198.27

MOG-A

MOOG INC.

5.8

Consider Buy

$365.15

BA vs MOG-A: Which is the Better Investment?

BOEING CO (BA) scores 4.4/10 while MOOG INC. (MOG-A) scores 5.8/10 on AlphaStocks' composite model. MOOG INC. has the higher composite rating of Consider Buy. On a P/E basis, MOOG INC. trades at 49.8x, making it the more attractively priced of the two.

This comparison is algorithmically generated and is not financial advice.

MetricBAMOG-A
Scores & Fundamentals
Composite Score4.4/105.8/10
RatingWeakConsider Buy
Price$198.27$365.15
P/E Ratio67.649.8
ROE-159.9%8.3%
Market Cap$156B$12B
Fair Value$121.01$201.50
Dividend Yield
Sector Rank#158 of 265#56 of 265
Model Verdicts
PiotroskiAttractiveAttractive
BuffettNeutralAttractive
GrahamCautionNeutral
LynchCautionNeutral
GreenblattAttractiveNeutral
View full BAanalysis →View full MOG-Aanalysis →

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BA vs MOG-A: Which Stock Scores Higher?

BOEING CO (BA) and MOOG INC. (MOG-A) are both in the Industrials sector. MOG-A currently leads with a composite score of 5.8/10 (Consider Buy) compared to BA's 4.4/10 (Weak).

The AlphaStocks composite score evaluates each stock across four dimensions: Quality (business strength measured by Piotroski F-Score and Buffett quality criteria), Value (discount to intrinsic worth using Graham, Lynch, and Greenblatt models), Momentum (6-month price trend), and Timing (a confirmation signal that requires both value and momentum to align). A higher composite score indicates stronger overall fundamentals combined with favorable market conditions.

This comparison uses the same scoring framework for both companies, ensuring an apples-to-apples evaluation. Scores are recalculated daily after market close using data from SEC filings and market prices. Read the full methodology to understand how each model contributes to the composite score.

Scores are algorithm-generated research tools, not investment recommendations. Past performance does not guarantee future results. Always do your own due diligence. Full disclaimer